| METEOROLOGY |
| Local
Forecast / Downscaling |
 von
Storch et al. introduction |
| Ensemble
Forecast |
| PROBABILISTIC
AND NEURAL MODELS |
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| Kevin Murphyy's
introductionBreese &
Koller Tutorial Sara Farmer's LinksProbabilistic
Methods in AIAssoc for Uncertainty in AIMicrosoft
ResearchHugin Home Page |
| Neural
Nets |
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| Links to Bayesian and Neural Networks |
| EVOLUTIVE
ALGORITHMS |
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| FRACTALS
AND MULTIFRACTALS |
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| Multifractals: |
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| Links to Fractals and Multifractals |
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NONLINEAR DYNAMICS: CHAOS |
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| Synchronization |
| Links to Nonlinear Dynamics and Chaos |
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Dr. José Manuel
Gutiérrez
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 Research
Interests |
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| Free
pdf copy of a book |
Free
pdf copy of a book |
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"Expert Systems and Probabilistic
Network Models"
availabe here E. Castillo, J.M. Gutiérrez and A. Hadi (only Spanish version)  |
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"Redes Probabilísticas
en Neuronales en las Ciencias Atmosféricas" |
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RESEARCH
PROJECTS |
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NATIONAL |
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![[]](images/folder.gif){kind=small}
Free
Software (
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PUBLISHED
BOOKS
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J.M. Gutiérrez, R. Cano, A.S. Cofiño and C. Sordo Monografías del Instituto Nacional de Meteorología, Ministerio de Medio Ambiente, Madrid, 2004 (en prensa). MeteoLab Meteorological Machine Learninig Toolbox (Matlab). |
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Functional Networks With Applications. A Neural Based Paradigm. |
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E. Castillo, A. Cobo, J. M. Gutiérrez, and E. Pruneda. Kluwer Academic Publishers, 1999. Several Java applets and Mathematica notebooks have been developed for working with different types of functional network architectures. Spanish edition Paraninfo / Int. Thomson Publishing, 1999. |
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Expert Systems and Probabilistic Network Models |
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E. Castillo, J. M. Gutiérrez, and A. S. Hadi. Springer-Verlag, New York, 1997. Several computer programs have been developed for working with different types of expert systems introduced in this book. (download X-pert software). Spanish edition. Monographic Series of the
Spanish Academy of Engineering , Madrid, 1997 . Free pdf copy available. |
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Mathematica |
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E. Castillo, A. Iglesias, J. M. Gutiérrez, E. Alvarez, and A. Cobo. Editorial Paraninfo, Madrid, 1993. This book describes symbolic computation using one of the most popular symbolic packages: Mathematica. Illustrative applications in the fields of dynamical systems, statistics, data manipulation, etc., are provided. Download slides and notebooks for the course (Spanish). |
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| WEATHER
FORECAST. Weather Generators and Statistical Downscaling |
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Self-Organizing Maps for Statistical Downscaling in Short-Term Forecasting. A Case Study in the Iberian Peninsula.
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Statistical Dowscaling with Bayesian Networks
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A Model for Hurst Noise in Climatological Time Series
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Dynamic Bayesian Networks for Probabilistic Time Series Prediction
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Redes Neuronales y Patrones de Analogías Aplicados al Downscaling en Modelos Climáticos
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Modelización y Predicción con Redes Probabilísticas
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| NONLINEAR
SCIENCE. Fractals, Multifractals and Chaos |
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A New Exact Method for Obtaining the Multifractal Spectrum of Multinomial Measures and IFSP Measures
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Mathematica Package for Analysis and Control of Chaos in Nonlinear Systems
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Synchronizing Chaotic Systems with Positive Conditional Lyapunov Exponents by Convex Combinations of the Drive and Response
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Nonlinear Time Series Modeling and Prediction Using Functional Networks.Extracting Information Masked by Chaos
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Efficient Rendering of Fractal Image Generation
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Suppression of Chaos Through Changes in the System Variables and Numerical Rounding Errors [ pdf preprint ]
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Suppression of Chaos Through Changes in the System Variables Through Poincaré and Lorenz Return Maps [ pdf preprint ]
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A Multifractal Analysis of IFSP Invariant Measures: Application to Fractal Image Generation
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Suppression of Chaos Through Changes in the System Variables: Transient Chaos and Crises
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Logistic Map Driven by Dichotomous Noise
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J.M. Gutiérrez and A. Iglesias
| MACHINE
LEARNING. Bayesian, neural and functional networks |
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Working with Differential, Functional and Difference Equations Using Functional Networks
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Modelling Probabilistic Networks of Discrte and Continuous Variables
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Symbolic Propagation and Sensitivity Analysis in Gaussian Bayesian Networks with Application to Damage Assessment
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Sensitivity Analysis in Discrete Bayesian Networks
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A new Method for Symbolic Propagation in Bayesian Networks
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Goal Oriented Symbolic Propagation in Bayesian Networks
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A Modified Simulation Scheme for Inference in Bayesian Networks
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Parametric Structure of Probabilities in Bayesian Networks
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Causal Network Models in Expert Systems
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A Probabilistic Network Expert System for Quality Control
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Last update March, 2003